In this 30-minute webinar, Microsoft Data Platform MVP Kendra Little explores the key challenges and recommendations to prevent exposure of private data in your next data breach, featuring insight from Gartner’s 2018 Market Guide for Data Masking.

1. 11/29/2018
1
Data masking:
insights and actions
Prevent private data from being exposed in your next data breach,
featuring insight from Gartner’s 2018 Market Guide for Data Masking
@Kendra_Little
Kendra.Little@Red-Gate.com
Founder of
SQL Workbooks
Evangelist at
Redgate
Microsoft MVP,
MCM

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Agenda

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A history of
neglecting
privacy
That time we only
changed the emails

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Let’s look at a mirror
of production data!
Masking is hard
Let’s use generated
data for dev and test
What could go wrong?

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Why it’s not simple to fake data
Real-world data and performance
Referential integrity, triggers, complexity
Too many manual tasks
Your next data
breach

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Three drivers of data masking
Compliance requirements
Insider threats
External threats
Gartner's July 2018 "Market Guide for Data Masking"
The case for masking data is stronger than ever
General Data Protection Regulation (GDPR)
Implemented May 2018
Pseudonymization or anonymization highly recommended
California Consumer Privacy Act of 2018 (AB-375)
Passed June 2018, scheduled for Implementation Jan 1, 2020
Victims of data breaches may seek damages — up to $750 of
damages for each person impacted, or actual damages
(whichever is higher)

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The more places
private data leaks
inside your company,
the greater your risk of
a breach
Masking data
protects your
customers and your
organization

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SQL Provision
simplifies data
protection
Static data masking
Create data substitution and shuffling rules
Synchronize data between tables
Run custom commands, manage triggers and
foreign keys

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SQL Provision prevents static masking pains
Masking pain
• Applying masking to
every copy of data
• Masking prevents self-
service of
environments
• Referential integrity is
difficult
SQL Provision
• Masking applied to
image, then cloned
• Self-service supported,
including masking
• Supports referential
integrity
Masking process within SQL Provision
Identify data to mask
Configure masking sets & rules
Test, validate, automate

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Shape the future of masking
Redgate.com/DataMaskerEAP
Who should act?
Software and IT Managers
Developers, DBAs
Anyone who accesses (or wants to access)
production data

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Take these steps
Make your case
Check out Gartner’s Market Guide
Prototype it out
Free trial
Deploy and celebrate
Protecting privacy is worth bragging about
Download Gartner's
2018 "Market Guide for
Data Masking”
Redgate.com/Gartner
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and
is used herein with permission. All rights reserved.

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Take part now: Redgate.com/DBDsurvey
Survey closes Friday 30th November 2018
Contact
sales@redgate.com